Geocomputation and urban planning

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a...

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Bibliografiske detaljer
Hovedforfatter: Kacprzyk, Janusz, 1947-
Andre forfattere: Lapucci, Alessandra (Directeur de la publication), Murgante, Beniamino (Directeur de la publication), Borruso, Giuseppe, 1972- (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2009.
Serier:Studies in Computational Intelligence 176
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Kommentar: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Geocomputation and urban planning, Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci (eds.), Berlin, Springer, 2009, 1 vol. (VI-279 p.), Studies in computational intelligence, 978-3-540-89929-7
Indholdsfortegnelse:
  • Geocomputation and Urban Planning Detection of Urban Socio-economic Patterns Using Clustering Techniques A Tale of Two Cities: Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy Identification of Hot Spots of Social and Housing Difficulty in Urban Areas: Scan Statistics for Housing Market and Urban Planning Policies The Town at the End of the Town: Integration and Segregation in Suburbia Planning Evacuation by Means of a Multi-modal Mesoscopic Dynamic Traffic Simulation Model Improving Moran s Index to Identify Hot Spots in Traffic Safety Visual Impact Assessment in Urban Planning Urban Roughness Parameters Calculation in the City of Rome by Applying Analytical and Simplified Formulations: Comparison of Results An Object-Oriented Model for the Sustainable Management of Evolving Spatio-temporal Information GIS and LIDAR Data Analysis for the Integration of Multidimensional Indicators on Urban Morphogenesis Multi-agent Vector Based Geosimulation Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery Predicting the Urban Spread Using Spatio-morphological Models A Multi-Agent Geosimulation Infrastructure for Planning A Participative Multi Agent System for Urban Sustainable Mobility